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G I would’ve LOVED this for my son!!! And he would’ve loved it too!! I always said… ytc_Ugx9vxpcE… G And why do you people think this is a good idea or cool. Soon they will over ru… ytc_UgwN-7Zvk… G I can say that every piece of art has story, effort, has taken hours of heart an… ytc_UgweWgkmv… G And on further thought.... those old machine guns sucked... there is no way… ytc_Ugx-YOM3P… G As someone who is a beginner painter, I can’t even make anything look real yet a… ytc_UgxbLdaiV… G Ai (not the Interface) is ‘channeling’ MANY signals through one signal. Human so… ytc_Ugw5RvOiY… G It's not propaganda, it's people mad that people who don't train or put effort i… ytr_UgyzBI_fV… G I've been saying that for the last few years to my watch because I know one day … ytc_UgzruNjIZ…

Comment

i cant help but noticed you didnt adress what an ai model actually does, which reflects on the inspiration question, the short answer is still not, the long one, an ai under the hood is literally just guessing floating point values between 0-1, and given the prompt they try to match it as closely as possible from the data they were trained on: example: lets say an ai is being trained to generate dogs or cats, in the process of learning, by guessing it wrong a bunch of times, it generates a random vector(well matrix relly) and then compares it to the vector that is actually a dog or a cat. If it gets close to the compared vector, it adjusts their parameter not too far away from the previous set, if it gets far away from the compared vector it adjusts its parameter further from the previous set, eventually it fine tunes its parameters and notices that it usually gets a dog correct when it guesses a vector close to (0.02391, 0.12423, 0.324031), whislt a cat is closer to(0.43249, 0.56984, 0.63245), thats how they learn so by defition, the ai is trying to get as close as plausible to the real thing, its trying to copy it.

youtube Viral AI Reaction 2025-08-17T01:4… ♥ 1

Coding Result

Dimension	Value
Responsibility	none
Reasoning	mixed
Policy	none
Emotion	indifference
Coded at	2026-04-27T06:24:59.937377

Raw LLM Response

[
{"id":"ytc_UgwKQzkzQ-jPt52P5Kh4AaABAg","responsibility":"ai_itself","reasoning":"consequentialist","policy":"none","emotion":"fear"},
{"id":"ytc_Ugy3zFJnyDsVn8lDWdp4AaABAg","responsibility":"none","reasoning":"mixed","policy":"none","emotion":"indifference"},
{"id":"ytc_UgytwCHzWn4PZP92ORl4AaABAg","responsibility":"ai_itself","reasoning":"consequentialist","policy":"none","emotion":"disgust"},
{"id":"ytc_UgxhyzSeA4qJwn0OtvV4AaABAg","responsibility":"company","reasoning":"deontological","policy":"ban","emotion":"outrage"},
{"id":"ytc_UgzqnnRAtXsZ--gP47R4AaABAg","responsibility":"company","reasoning":"deontological","policy":"liability","emotion":"outrage"},
{"id":"ytc_Ugx9G67fsga9F_-eWoN4AaABAg","responsibility":"none","reasoning":"mixed","policy":"regulate","emotion":"resignation"},
{"id":"ytc_UgyldDdv-6JOFYktykZ4AaABAg","responsibility":"company","reasoning":"consequentialist","policy":"none","emotion":"indifference"},
{"id":"ytc_UgyYJbfduEeHn4xx4sR4AaABAg","responsibility":"company","reasoning":"mixed","policy":"none","emotion":"indifference"},
{"id":"ytc_UgwsvYU78NWioipiS_N4AaABAg","responsibility":"user","reasoning":"contractualist","policy":"liability","emotion":"approval"},
{"id":"ytc_Ugz6sCby9hjO6--zLjF4AaABAg","responsibility":"none","reasoning":"deontological","policy":"none","emotion":"indifference"}
]

Raw LLM Responses